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Re: st: Most significant parameters in multinomial logit
From
David Hoaglin <[email protected]>
To
[email protected]
Subject
Re: st: Most significant parameters in multinomial logit
Date
Thu, 29 Nov 2012 11:48:13 -0500
Hi, Frank.
As part of the process of re-examining your null hypothesis (as
Maarten suggested), you should keep in mind that, in any such model
with multiple predictor variables, the p-value for a particular
predictor reflects its contribution to the dependent variable after
the contributions of all the other predictors have been accounted for
(or adjusted for).
David Hoaglin
On Thu, Nov 29, 2012 at 12:47 AM, Frank Talony <[email protected]> wrote:
> Hi,
>
> Is there an option or a different command to execute to find out which
> dependent variables are most significant in a mlogit solution?
> For example, after running
>
> mlogit indep1 dep1 dep2 dep3 dep4 .... depn
>
> Assuming dep2, dep3, dep6, dep8 are found to be significant. How do I
> tell which of them is most significant in a ranking?
> Thank you,
>
> Frank
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